Jonas V Nurse Leader Scholar

Daniel Linnen, MS, RN-BC

University of California-San Francisco Hartford Center
PhD Student

Daniel Linnen is a Ph.D. student in Nursing and Health Policy at the University of California San Francisco (UCSF) and a board certified Nursing Informatics Specialist at Kaiser Permanente, National IT and Innovation. He holds a Master’s of Science degree in Health System Leadership from UCSF, and a Bachelor’s degree in Nursing from California State University Chico. Together with his wife, a California native, he immigrated to the U.S. from Germany in 2002.   Daniel received an “Emerging Leader” award from the Sigma Theta Tau International chapter at UCSF in 2014, and was selected for the national Maggie Cox Writer’s Award from the American Nursing Informatics Association and National Institutes of Health (NIH) Big Data training grant in 2016. His research interests are finding novel approaches to improved patient safety and reduced healthcare costs by applying the next generation of big data technologies and predictive analytics in acute care. Specifically, Daniel is investigating the ability to predict clinical outcomes for high-risk patients. In addition, Daniel is interested in the policy aspects of healthcare information technology and advanced analytics.   His clinical background includes six years as a critical care nurse (CCRN) and four years as department leader of a critical care unit in Walnut Creek, CA. Daniel has led and collaborated in numerous clinical analytics projects, many at national scale at KP, including electronic sepsis recognition, delirium risk prediction, safe alarm management, clinical event notifications, and electronic dashboard design and development. He can be found on Twitter @data2vizdom.